A Unified Framework for Analyzing Textual Context and Intent in Social Media
Abstract
References
Index Terms
- A Unified Framework for Analyzing Textual Context and Intent in Social Media
Recommendations
Irony Detection in a Multilingual Context
Advances in Information RetrievalAbstractThis paper proposes the first multilingual (French, English and Arabic) and multicultural (Indo-European languages vs. less culturally close languages) irony detection system. We employ both feature-based models and neural architectures using ...
Cross-lingual Capsule Network for Hate Speech Detection in Social Media
HT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social MediaMost hate speech detection research focuses on a single language, generally English, which limits their generalisability to other languages. In this paper we investigate the cross-lingual hate speech detection task, tackling the problem by adapting the ...
mBERT-GRU multilingual deep learning framework for hate speech detection in social media
One major issue plaguing online social media is hate speech, a complex phenomenon whose identification and target categorization have been studied by the natural language processing community. In recent years, notable studies have been made towards hate ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Transactions on Intelligent Systems and Technology](/cms/asset/bba4a809-96ba-4a35-8b64-af5ea13d21e8/3613712.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 229Total Downloads
- Downloads (Last 12 months)229
- Downloads (Last 6 weeks)39
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in